武汉大学主页平台管理系统史硕--中文主页--论文成果

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史硕

个人信息Personal information

博士生导师
硕士生导师
教师拼音名称：Shi Shuo
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所在单位：测绘遥感信息工程国家重点实验室
学历：博士研究生毕业
办公地点：信息学部星湖综合实验大楼
性别：男
联系方式：027-68778318

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论文成果

[1]. A convolution neural network for forest leaf chlorophyll and carotenoid estimation using hyperspectral reflectance. International Journal of Applied Earth Observation and Geoinformation. 2022. （SCI一区TOP）.

[2]. Wavelength selection of the multispectral lidar system for estimating leaf chlorophyll and water contents through the PROSPECT model. Agricultural and Forest Meteorology. 2019. （SCI一区TOP）.

[3]. Optimizing LUT-based inversion of leaf chlorophyll from hyperspectral lidar data: Role of cost functions and regulation strategies. International Journal of Applied Earth Observation and Geoinformation. 2021. （SCI一区TOP）.

[4]. Analyzing the performance of PROSPECT model inversion based on different spectral information for leaf biochemical properties retrieval. ISPRS Journal of Photogrammetry and Remote Sensing. 2018. （SCI一区TOP）.

[5]. Estimating leaf chlorophyll status using hyperspectral lidar measurements by PROSPECT model inversion. Remote Sensing of Environment. 2018. （SCI一区TOP）.

[6]. A new waveform decomposition method for multispectral LiDAR. ISPRS Journal of Photogrammetry and Remote Sensing. （SCI一区TOP）.

[7]. Target Classification of Similar Spatial Characteristics in Complex Urban Areas by Using Multispectral LiDAR. Remote Sensing. 2022. （SCI二区TOP）.

[8]. Multichannel Interconnection Decomposition for Hyperspectral LiDAR Waveforms Detected from Over 500 m. IEEE Transactions on Geoscience and Remote Sensing. 2021. （SCI二区TOP）.

[9]. True color 3D imaging optimization with missing spectral bands based on hyperspectral LiDAR. Optics Express. 2021. （SCI二区TOP）.

[10]. Analyzing the effect of incident angle on echo intensity acquired by hyperspectral lidar based on the Lambert-Beckman model. Optics Express. 2021. （SCI二区TOP）.

[11]. Improving characteristic band selection in leaf biochemical property estimation considering interrelations among biochemical parameters based on the PROSPECT-D model. Optics Express. 2021. （SCI二区TOP）.

[12]. Optical system design for a hyperspectral imaging lidar using supercontinuum laser and its preliminary performance. Optics Express. 2021. （SCI二区TOP）.

[13]. Land Cover Classification with Multispectral LiDAR Based on Multi-Scale Spatial and Spectral Feature Selection. Remote Sensing. 2021. （SCI二区TOP）.

[14]. Improving the Selection of Vegetation Index Characteristic Wavelengths by Using the PROSPECT Model for Leaf Water Content Estimation. Remote Sensing. 2021. （SCI二区TOP）.

[15]. Optimized estimation of leaf mass per area with a 3d matrix of vegetation indices. Remote Sensing. 2021. （SCI二区TOP）.

[16]. Parameter Simulation and Design of an Airborne Hyperspectral Imaging LiDAR System. Remote Sensing. 2021. （SCI二区TOP）.

[17]. Using HSI Color Space to Improve the Multispectral Lidar Classification Error Caused by Measurement Geometry. IEEE Transactions on Geoscience and Remote Sensing. 2020. （SCI二区TOP）.

[18]. Assessing different regression algorithms for paddy rice leaf nitrogen concentration estimations from the first-derivative fluorescence spectrum. Optics Express. （SCI二区TOP）.

[19]. Leaf Biochemistry Parameters Estimation of Vegetation Using the Appropriate Inversion Strategy. Frontiers in plant science. （SCI二区TOP）.

[20]. Novel combined spectral indices derived from hyperspectral and laser-induced fluorescence LiDAR spectra for leaf nitrogen contents estimation of rice. Remote Sensing. 2020. （SCI二区TOP）.

[21]. Correcting the effect of the detection angular on laser-induced chlorophyll fluorescence. Journal of Physics Communications. 2020. （EI）.

[22]. A Spectrally Improved Point Cloud Classification Method for Multispectral LIDAR. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 2020. （EI）.

[23]. Hyperspectral lidar point cloud segmentation based on geometric and spectral information. Optics express. （SCI二区TOP）.

[24]. Analyzing the performance of the first-derivative fluorescence spectrum for estimating leaf nitrogen concentration. Optics express. 2019. （SCI二区TOP）.

[25]. True-color three-dimensional imaging and target classification based on hyperspectral LiDAR. Remote Sensing. 2019. （SCI二区TOP）.

[26]. Analyzing the effect of fluorescence characteristics on leaf nitrogen concentration estimation. Remote Sensing. 2018. （SCI二区TOP）.

[27]. Potential of spectral ratio indices derived from hyperspectral LiDAR and laser-induced chlorophyll fluorescence spectra on estimating rice leaf nitrogen contents. Optics express. 2017. （SCI二区TOP）.

[28]. Effect of fluorescence characteristics and different algorithms on the estimation of leaf nitrogen content based on laser-induced fluorescence lidar in paddy rice. Optics express. 2017. （SCI二区TOP）.

[29]. Estimating Rice Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance. Remote Sensing. 2017. （SCI二区TOP）.

[30]. Multispectral LiDAR Point Cloud Classification: A Two-Step Approach. Remote Sensing. 2017. （SCI二区TOP）.

[31]. Monitoring of paddy rice varieties based on the combination of the laser-induced fluorescence and multivariate analysis. Food Analytical Methods. 2017. （SCI二区）.

[32]. Application of the chlorophyll fluorescence ratio in evaluation of paddy rice nitrogen status. Plant, Soil and Environment. 2017. （SCI三区）.

[33]. Evaluation of hyperspectral LiDAR for monitoring rice leaf nitrogen by comparison with multispectral LiDAR and passive spectrometer. Scientific reports. 2017. （SCI三区）.

[34]. Potential of vegetation indices combined with laser-induced fluorescence parameters for monitoring leaf nitrogen content in paddy rice. PLoS One. 2018. （SCI三区）.

[35]. Potential of fluorescence index derived from the slope characteristics of laser-induced chlorophyll fluorescence spectrum for rice leaf nitrogen concentration estimation. Applied Sciences. 2019. （SCI三区）.

[36]. Estimation of multi-species leaf area index based on Chinese GF-1 satellite data using look-up table and gaussian process regression methods. Sensors. 2020. （SCI三区）.

[37]. Estimating leaf nitrogen concentration based on the combination with fluorescence spectrum and first-derivative. Royal Society open science. 2022. （SCI三区）.

[38]. Active 3D imaging of vegetation based on multi-wavelength fluorescence Lidar. Sensors. 2020. （SCI三区）.

[39]. Application of Hyperspectral LiDAR on 3-D Chlorophyll-Nitrogen Mapping of Rohdea Japonica in Laboratory. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. （SCI三区）.

[40]. The Effect of Principal Component Analysis Parameters on Solar-Induced Chlorophyll Fluorescence Signal Extraction. Applied Sciences. 2021. （SCI三区）.

[41]. Combined application of 3D spectral features from multispectral LiDAR for classification. 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017. （EI）.

[42]. 对地观测高光谱激光雷达发展及展望. 遥感学报. 2021. （特邀综述）.

[43]. 利用等边长正交格网进行层次聚合聚类. 武汉大学学报(信息科学版). 2018. （EI）.

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